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mini5-qa
This model is a fine-tuned version of mrm8488/bert-mini-5-finetuned-squadv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5918
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 52 | 0.5957 |
| No log | 2.0 | 104 | 0.5762 |
| No log | 3.0 | 156 | 0.5918 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
